{"id":"W6921145696","doi":"10.6084/m9.figshare.9924683.v1","title":"R codes","year":2019,"lang":"en","type":"other","venue":"Figshare","topic":"Public Administration and Political Analysis","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Taiga; Competition (biology); Boreal; Measure (data warehouse); Field (mathematics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00002432668,0.00006450829,0.0001107316,0.00005584857,0.00004892295,0.00007027957,0.0001853699,0.0002019149,0.9626572],"category_scores_gemma":[0.000640046,0.00005960183,0.00006681091,0.0001018262,0.00001218958,0.00002134968,0.00001855528,0.00006850476,0.07735275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001822167,"about_ca_system_score_gemma":0.0002696724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004291189,"about_ca_topic_score_gemma":0.001820154,"domain_scores_codex":[0.9994428,0.00004464584,0.00005384712,0.0001124342,0.0001904709,0.0001558188],"domain_scores_gemma":[0.9996392,0.0000557383,0.00005250039,0.0001205607,0.00002554544,0.000106427],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[7.582128e-8,0.000004131015,0.000001304694,0.00001876163,0.00001094317,9.51075e-7,0.00004896168,8.862066e-9,8.479478e-9,0.01483383,0.98483,0.000251015],"study_design_scores_gemma":[0.0000177595,0.00000224804,0.000004327731,0.0001905852,0.000004943689,4.838688e-8,0.00007281719,0.000001318047,2.715929e-7,0.00005937876,0.9995642,0.00008215496],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[6.25418e-9,0.00009353017,2.521411e-7,0.0006301697,0.00004100461,0.00006847212,0.1783574,0.0001214333,0.8206877],"genre_scores_gemma":[0.00008861905,0.000005209511,0.00001067867,0.0004674366,0.0006269192,0.0000183814,0.06116489,0.00004786103,0.93757],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8853045,"threshold_uncertainty_score":0.9233657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06141093481795521,"score_gpt":0.3640951215901934,"score_spread":0.3026841867722381,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}